Answer:
lol no. They are still frogs but you probaly not do that. lol
Explanation:
Answer:
the time period of the plot is the answer.
Explanation:
Based on the information given, it should be noted that the probability that the proportion of voters that will support the ballot measure will be greater than 0.50 is 0.0895.
<h3>
How to calculate the probability.</h3>
From the information given, it was stated that a polling agency is investigating the voter support for a ballot measure in an upcoming city election and that the the population proportion of voters who would support the ballot measure in region a is 0. 47.
Based on the complete information, the probability that the proportion of voters in the sample of region A that will support the ballot measure will be greater than 0.50 will be given as P(Z > 1.3441).
It should be noted that when this value is looked in the table, it will give a value of 0.0895.
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Answer:
- No, the points are evenly distributed about the x-axis.
Explanation:
<u>1. Write the table with the data:</u>
x given predicted residual
1 - 3.5 - 1.1
2 - 2.9 2
3 - 1.1 5.1
4 2.2 8.2
5 3.4 1.3
<u>2. Complete the column of residuals</u>
The residual is the observed (given) value - the predicted value.
- residual = given - predicted.
Thus, the complete table, with the residual values are:
x given predicted residual
1 - 3.5 - 1.1 - 2.4
2 - 2.9 2 - 4.9
3 - 1.1 5.1 - 6.2
4 2.2 8.2 - 6.0
5 3.4 1.3 2.1
<u>3. Residual plot</u>
You must plot the last column:
x residual
1 - 2.4
2 - 4.9
3 - 6.2
4 - 6.0
5 2.1
See the plot attached.
<em>Does the residual plot show that the line of best fit is appropriate for the data?</em>
Ideally, a residual plot for a line of best fit that is appropiate for the data must not show any pattern; the points should be randomly distributed about the x-axis.
But the points of the plot are not randomly distributed about the x-axis: there are 4 points below the x-axis and 1 point over the x-axis: there are more negative residuals than positive residuals. This is a pattern. Also, you could say that they show a curve pattern, which drives to the same conclusion: the residual plot shows that the line of best fit is not appropiate for the data.
Thus, the conclusion should be: No, the points have a pattern.
- 1. "<em>Yes, the points have no pattern</em>": false, because as shown, the points do have a pattern, which makes the residual plots does not show that the line of best fit is appropiate for the data.
- 2. "<em>No, the points are evenly distributed about the x-axis</em>": true. As already said the points have a pattern. It is a curved pattern, and this <em>shows the line of best fit is not appropiate for the data.</em>
- 3. "<em>No, the points are in a linear pattern</em>": false. The points are not in a linear pattern.
- 4. "<em>Yes, the points are in a curved pattern</em>": false. Because the points are in a curved pattern, the residual plot shows that the line of best fit is not appropiate for the data.
The best option that gives a great conclusion about her acting career is Option C; Hedy Lamarr worked in America films with MGM Studios
<h3>What is the summary of his acting career?</h3>
Hedy Lamarr was a woman who had so many talents and was first known as a European film actress in the 1930s.
Hedy Lamarr began acting in American films with MGM Studios in the late 1930s and early 1940s. She did not have any formal training, but she did not allow that to stop her from teaching herself in her spare time which really helped her advance forward in the acting industry.
We can conclude that the best option that gives a great conclusion about her acting career is Option C.
The missing options are;
a. Hedy Lamarr wanted more opportunities to speak while acting
b. Hedy Lamarr was the first European actress of the 1930s
c. Hedy Lamarr worked in America films with MGM Studios
d. Hedy Lamarr was content with her contribution to film.
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